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are expected to work as a close-knit team together with three PhD students to create a mutually supportive research environment. Candidates must be enthusiastic about building and working in a large
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interested in candidates with: A strong background in quantitative research methods; Experience working with large-scale datasets; A keen interest in youth mental health, individual differences, and the role
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programmes that are constantly renewed in response to issues in society. Our faculty is large enough to make a difference nationally and internationally, yet small enough to offer personalised education. This
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sensing provides large-scale and consistent observations, in-situ data collection remains a vital component for ground-truthing, model calibration, and validation of automated monitoring. However
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Hub. Accountabilities Cleaning, manipulating, and analysing longitudinal quantitative data from various datasets, including survey, accelerometer and GPS, and EMA data from different project sites
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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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collaboration with an interdisciplinary team including biologists, pedologists and other experts. You will work with various types of spatial data collected from multiple sources and at different scales. We
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novel in-situ testing methodologies to observe deformation mechanisms at micro/nano scales. Data Acquisition and Analysis 25% Operate and maintain advanced experimental equipment, including but not
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roadmaps. the state-of-the-art methodologies and technologies from different stakeholders in the field of digital twin spacecraft, in particular ESA/ESTEC, ESA/ESOC and the large space integrators